DocumentCode :
2620419
Title :
An Algorithm of Texture Image Segmentation by Piecewise Constant Level Set Method Based on Image Decomposition
Author :
Shuai-jie, Li ; Jin-ping, Song ; Xue-cheng, Tai
Author_Institution :
Inst. of Appl. Math., Henan Univ., Kaifeng, China
Volume :
7
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
163
Lastpage :
168
Abstract :
The article adopts the image decomposition idea in MS (Mumford-Shah) model, and proposes a new MSWD (Mumford-Shah with Decomposition) model. Based on the model, with the piecewise constant level set method, we propose an image segmentation algorithm. The MSWD model can extract the texture (or noise) in the segmentation, and effectively avoids the influence of unsupervised texture (or noise), also simultaneously enhances the operating speed. Further through the experiments, we testify therationality and validity of the MSWD model and the algorithm.
Keywords :
feature extraction; image segmentation; image texture; Mumford-Shah model; feature extraction; image decomposition; piecewise constant level set method; texture image segmentation; Computer science; Computer vision; Educational institutions; Image decomposition; Image segmentation; Information science; Level set; Mathematical model; Mathematics; Solid modeling; Image segmentation; Level Set; Texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.485
Filename :
5170302
Link To Document :
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